Integrated analysis of differentially expressed genes implicated in ovarian cancer progression.

Objective: Ovarian cancer (OC) is a common gynecological malignancy associated with high morbidity and generally poor prognosis despite treatment. The aim of this study was to understand the influence of gene expression differences and pathways in OC development and progression. Materials and Methods: One hundred and thirty-three OC samples and 34 normal ovarian tissues were included in the study from the Gene Expression Omnibus database. GeneSpring Software was used to obtain differentially expressed genes (DEGs) in all stages comparing tumor and normaltissue. DEGs were analyzed using the DAVID interface for Kyoto Encyclopedia of Genes and Genomes pathway analysis. Most most connected genes were selected as hub genes for each stage using the STRING application in Cytoscape software. Results: DEGs were found to be associated with cell cycle and herpes simplex virus infection pathways. A total of 19 genes (ACTB, AKT1, ALB, CTNNB1, EGFR, EP300, ESR1, FN1, GAPDH, HSPA4, IL6, JUN, MYC, PTEN, RPS27A, SRC, TNF, TP53 and UBC) were identified as hub genes. Among the hub genes, the TP53 gene was found to have the highest level of connections in all stages. EGFR, RPS27A, and AKT1 were found to have high numbers of connections in stages II, III, and IV, respectively. Conclusion: The results of the current study may provide new insights into OC pathogenesis and suggest potential prognostic and therapeutic targets.

Differentially expressed miRNAs associated with generalized aggressive periodontitis.

OBJECTIVE: This study aimed to investigate miRNA expression profiles in individuals with periodontitis which is a chronic inflammatory condition affecting the integrity of the periodontal attachment. miRNAs play a crucial role in gene regulation through various mechanisms, making them potential diagnostic markers and therapeutic targets for various diseases. MATERIALS AND METHODS: A total of 25 individuals with aggressive periodontitis and 25 controls were included in the study. Gingival tissues were collected for miRNA isolation and cDNA synthesis. miRNAs associated with periodontitis, including hsa-miR-185-5p, hsa-miR-17, hs-miR-146a, hs-miR-146b, hs-miR-155, hs-miR-203, hs-miR-205, hs-miR-223, and hsa-miR-21-3p, were analyzed using a combination of miRTarBase database analysis and literature mining was performed. Real-time PCR was used to assess the expression patterns of the target miRNAs, and the data were analyzed using the REST program. RESULTS: The study revealed upregulated expression levels of hsa-miR-223-3p, hsa-miR-203b-5p, hsa-miR-146a-5p, hsa-miR-146b-5p, and hsa-miR-155-5p in individuals with periodontitis. Conversely, downregulated expression was observed for hsa-miR-185-5p, hsa-miR-21-3p, and hsa-miR-17-3p. CONCLUSION: The findings suggest significant differences in the expression of specific miRNAs associated with inflammation in periodontitis. MZB1 acts as a hormone-regulated adipokine/pro-inflammatory cytokine, driving chronic inflammation and influencing cellular expansion. Predominantly expressed in marginal zone and B1 B cells, specialized subsets that respond rapidly to infections, MZB1 impacts immune protein synthesis and immune cell maturation, notably targeting microRNA-185 to potentially impede T cell development. Further research is needed to elucidate the functional significance and potential implications of these miRNAs. CLINICAL RELEVANCE: miRNAs regulate the expression of target genes by finely tuning protein expression levels. The current findings provide compelling evidence of notable variations in the expression levels of specific miRNAs associated with inflammation in individuals affected by periodontitis; hence, miRNAs hold promise as potential therapeutic targets for periodontitis.

Altered expression of MZB1 in periodontitis: A possible link to disease pathogenesis.

BACKGROUND: Our previous study explored the molecular signatures of generalized aggressive periodontitis (GAgP) using gingival tissues through omics-based-whole-genome transcriptomic analysis. This continuation study aimed to investigate the whole protein profiling of these gingival samples through liquid chromatography-mass spectroscopy/mass spectroscopy (LC-MS/MS) analysis and to validate the identified proteins through immunohistochemistry to provide further evidence for the quality of the results. METHODS: In previous study, gene expression patterns were identified in gingival tissues from 23 GAgP and 25 control individuals. In the current study, comparative proteomic analysis was performed on isolated proteins from the same study groups using LC-MS/MS analysis. The data from the transcriptomics study published before and the proteomics data were integrated to reveal any common genes and proteins. Additionally, immunohistochemical analysis was conducted to further investigate the findings. RESULTS: The most upregulated proteins in patients compared to controls were ITGAM, AZU1, MMP9, BPI, UGGG1, MZB1, TRFL, PDIA6, PRDX4, and PLG. The top six pathways associated with these proteins were involved in innate immune system, post-translational protein phosphorylation, interleukin-4 and -13 signaling, toll-like receptors cascades, and extracellular matrix organization. Based on the integration and validation analysis of transcriptomics and proteomics data, as well as immunohistochemical analysis, MZB1 was identified as a shared gene and protein that were upregulated in the patients. CONCLUSIONS: MZB1 is a protein that is involved in the development of B cells and the production of antibodies. Its upregulation in periodontitis suggests that there may be a dysregulation of the immune response in this condition, and MZB1 may be a potent biomarker for periodontitis.

The role of next-generation sequencing in the examination of signaling genes in Brca1/2-negative breast cancer cases.

INTRODUCTION: Breast cancer is the most prevalent malignancy in women worldwide. Although pathogenic variants in the BRCA1/2 genes are responsible for the majority of hereditary breast cancer cases, a substantial proportion of patients are negative for pathogenic variations in these genes. In cancers, the signal transduction pathways of the cell are usually affected first. Therefore, this study aimed to detect and classified genetic variations in non-BRCA signaling genes and investigate the underlying genetic causes of susceptibility to breast cancer. METHODS: Ninety-six patients without pathogenic variants in the BRCA1/2 genes who met the inclusion criteria were enrolled in the study, and 34 genes were analyzed using next-generation sequencing (NGS) for genetic analysis. RESULTS: Based on the ClinVar database or American College of Medical Genetics criteria, a total of 55 variants of 16 genes were detected in 43 (44.8%) of the 96 patients included in the study. The pathogenic variants were found in the TP53, CHEK2, and RET genes, whereas the likely pathogenic variants were found in the FGFR1, FGFR3, EGFR, and NOTCH1 genes. CONCLUSION: The examination of signaling genes in patients who met the established criteria for hereditary breast cancer but were negative for BRCA1/2 pathogenic variants provided additional information for approximately 8% of the families. The results of the present study suggest that NGS is a powerful tool for investigating the underlying genetic causes of occurrence and progression of breast cancer.

The diagnostic importance of pathogenic variants and variant coexistence determined by NGS-based liquid biopsy approach in patients with lung adenocarcinoma.

BACKROUND: Identification of driver mutations and rapid detection of genetic changes in lung cancer are critical in the management of the disease. Genetic structures of tumor tissues tend to change constantly and the possibility of emergence of new pathogenic variants that will create resistance to treatment. Liquid biopsy analysis has been one of the most effective approaches used to monitor and identify individual genetic changes. METHODS: In this study, TP53, EGFR, MET, ALK, PIK3CA, MAP2K, ERBB2 and ROS genes in cf DNA samples of 324 patients with lung adenocarcinoma were screened for genetic variations by NGS method. Analysis of the data showed that there were a total of 755 variations in 324 patients. RESULTS: Pathogenic and possibly pathogenic variations were identified in 178 patients (54.9%) on TP53, 118 (36.4%) on EGFR, 55 (17.0%) on MET, 46 (14.2%) on ALK, 39 (12.0%) on MAP2K, 6 (1.9%) on ERBB2 and in 2 (0,6%) patients ROS genes. The detailed variant data of the genes included in the study were compared with the patients' stage status, metastasis status, smoking, age distribution and life span data, and the presence of possible significant relationships and candidate biomarkers for the molecular pathogenesis of the disease were investigated. CONCLUSION: As a result of data analysis, genetic changes associated with metastasis and adenocarcinoma formation were identified. It has been shown that variations identified in TP53, PIK3CA, MAP2K1 and EGFR genes can play critical roles in the pathogenesis and development of the disease.

TP53, EGFR and PIK3CA gene variations observed as prominent biomarkers in breast and lung cancer by plasma cell-free DNA genomic testing.

Use of plasma cell-free DNA genomic testing, also know as liquid biopsy, reveals information for early detection and monitoring of solid tumors. Our study reports the analysis of 113 lung and 18 breast cancer patients using commercially available platforms. Lung and breast cancer panel hotspot regions on the genes were investigated. There was a significant increase in isolation efficiency with very fresh blood samples of at least 15 millilitres which were processed in minutes. TP53 gene variations were detected in both types of tumors. Additionally, associations were found for EGFR variations in lung tumors and PIK3CA variations in breast tumors. Mutation assessment of these three genes are recommended as useful biomarkers for predictive studies, to follow up tumor growth and for personalized treatment. Mutations observed in this study warrant further investigation for follow up studies and may justify expression studies. However, in our subsequent studies, we intensify our tumor profiling strategy with other methods. However in terms of true personalized medicine,future plans would include repeating these studies with ctDNA size analysis and methylation analysis of the non-coding region in the individual tumors.

Molecular signatures of chronic periodontitis in gingiva: A genomic and proteomic analysis.

BACKGROUND: To elucidate molecular signatures of chronic periodontitis (CP) using gingival tissue samples through omics-based whole-genome transcriptomic and whole protein profiling. METHODS: Gingival tissues from 18 CP and 25 controls were analyzed using gene expression microarrays to identify gene expression patterns and the proteins isolated from these samples were subjected to comparative proteomic analysis by liquid chromatography-tandem mass spectrometry (LC-MS/MS). The data from transcriptomics and proteomics were integrated to reveal common shared genes and proteins. RESULTS: The most upregulated genes in CP compared with controls were found as MZB1, BMS1P20, IGLL1/IGLL5, TNFRSF17, ALDH1A1, KIAA0125, MMP7, PRL, MGC16025, ADAM11, and the most upregulated proteins in CP compared with controls were BPI, ITGAM, CAP37, PCM1, MMP-9, MZB1, UGTT1, PLG, RAB1B, HSP90B1. Functions of the identified genes were involved cell death/survival, DNA replication, recombination/repair, gene expression, organismal development, cell-to-cell signaling/interaction, cellular development, cellular growth/proliferation, cellular assembly/organization, cellular function/maintenance, cellular movement, B-cell development, and identified proteins were involved in protein folding, response to stress, single-organism catabolic process, regulation of peptidase activity, and negative regulation of cell death. The integration and validation analysis of the transcriptomics and proteomics data revealed two common shared genes and proteins, MZB1 and ECH1. CONCLUSION: Integrative data from transcriptomics and proteomics revealed MZB1 as a potent candidate for chronic periodontitis.

Gene-Expression Profiles in Generalized Aggressive Periodontitis: A Gene Network-Based Microarray Analysis.

BACKGROUND: In this study, molecular biomarkers that play a role in the development of generalized aggressive periodontitis (GAgP) are investigated using gingival tissue samples through omics-based whole-genome transcriptomics while using healthy individuals as background controls. METHODS: Gingival tissue biopsies from 23 patients with GAgP and 25 healthy individuals were analyzed using gene-expression microarrays with network and pathway analyses to identify gene-expression patterns. To substantiate the results of the microarray studies, real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was performed to assess the messenger RNA (mRNA) expression of MZB1 and DSC1. The microarrays and qRT-PCR resulted in similar gene-expression changes, confirming the reliability of the microarray results at the mRNA level. RESULTS: As a result of the gene-expression microarray studies, four significant gene networks were identified. The most upregulated genes were found as MZB1, TNFRSF17, PNOC, FCRL5, LAX1, BMS1P20, IGLL5, MMP7, SPAG4, and MEI1; the most downregulated genes were found as LOR, LAMB4, AADACL2, MAPT, ARG1, NPR3, AADAC, DSC1, LRRC4, and CHP2. CONCLUSIONS: Functions of the identified genes that were involved in gene networks were cellular development, cell growth and proliferation, cellular movement, cell-cell signaling and interaction, humoral immune response, protein synthesis, cell death and survival, cell population and organization, organismal injury and abnormalities, molecular transport, and small-molecule biochemistry. The data suggest new networks that have important functions as humoral immune response and organismal injury/abnormalities. Future analyses may facilitate proteomic profiling analyses to identify gene-expression patterns related to clinical outcome.